CODEWITHSUNDEEP
opencvstereo-3d
Paul
Paul

Reputation: 11

Using OpenCV to correct stereo images

I intend to make a program which will take stereo pair images, taken by a single camera, and then correct and crop them so that when the images are viewed side by side with the parallel or cross eye method, the best 3D effect will be achieved. The left image will be the reference image, the right image will be modified for corrections. I believe OpenCV will be the best software for these purposes. So far I believe the processing will occur something like this:

Doing so will I imagine result in irregular black borders above and below the right image so:

Okay, so that's my take on what needs doing and the order it occurs in, what I'm asking is, does that seem right, is there anything I've missed, anything in the wrong order etc. Also, which specific functions of OpenCV would I need to use for all the necessary steps to complete this project? Or is OpenCV not the way to go? Much thanks.

Upvotes: 1

Views: 1968

Answers (1)

Martin Beckett
Martin Beckett

Reputation: 96109

OpenCV is great for this.

There is a whole chapter in:

enter image description here

And all the sample code for this in the book ships with the opencv distribution

edit: Roughly the steps are:

  1. Remap each image to remove lens distortions and rotate/translate views to image center.

  2. Crop pixels that don't appear in both views (optional)

  3. Find matching objects in each view (stereoblock matching) create disparity map

  4. Reproject disparity map into 3D model

Upvotes: 1

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